Triple
T17696568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Quixote (Strauss) |
E441186
|
entity |
| Predicate | instrumentRepresentingDonQuixote |
P128610
|
FINISHED |
| Object | solo cello |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: solo cello | Statement: [Don Quixote (Strauss), instrumentRepresentingDonQuixote, solo cello]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instrumentRepresentingDonQuixote Context triple: [Don Quixote (Strauss), instrumentRepresentingDonQuixote, solo cello]
-
A.
relationshipToSanchoPanza
Indicates the specific type of relationship or connection an entity has to Sancho Panza.
-
B.
portraysDonJuanAs
Indicates that a subject represents or depicts Don Juan in a particular manner, role, or characterization.
-
C.
voiceTypeOfDonRamiro
Indicates that the specified voice type is the vocal classification associated with the character Don Ramiro.
-
D.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
E.
swordsRepresent
Indicates that swords serve as symbols or stand-ins representing a particular idea, group, concept, or entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47156a8f8819080cc730f4e9bc6ad |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:04 a.m.